Artificial Intelligence-Based Assessment of Physical Education and Training Effectiveness

Abstract

The current physical education teaching has problems such as poor extraction rate of effective information and poor dynamic tracking effect in the process of daily training. Based on this, this paper combines multidimensional self-classification artificial intelligence algorithm and self-matching intelligent training method, designs a computer-aided analysis model of physical education based on multidimensional self-classification artificial intelligence algorithm, and studies how to improve physical education teaching efficiency and training effect through intelligent detection hardware and big data high-dimensional matching analysis technology. The application of big data high-dimensional matching analysis technology and multidimensional self-classification artificial intelligence algorithm in the design of physical education computer-assisted is introduced first, and a physical education based on multidimensional self-classification artificial intelligence algorithm is designed with physical education computer-assisted requirements, the analysis factors of skill indicators are selected and compared with the current mainstream sports analysis methods. The results of factor index analysis under different conditions were tested, the results show that the training results based on physical education teaching have the advantage of high analysis efficiency. With the help of AI artificial intelligence sensor, it has good practical application value.